ABUSE.MOM
THREAT REPORT

IP Threat Report
119.148.3.101

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-28 14:53:33
First seen: 2026-07-28 05:03:53
Last seen: 2026-07-28 14:37:59
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 29.

DANGER_PATHRATIO_404
01

Geolocation & Classification

IP Address
119.148.3.101
Type
Residential
Country
🇧🇩 Bangladesh
City
Dhaka
ISP
Agni Systems Ltd. SUB
Organization
Agni Systems Ltd.
Autonomous System
AS23923 Agni Systems Limited
Hit Count
29
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Σ = 65
03

Observed Activity

Reconstructed HTTP requests from server access logs. Target domains redacted for security.

[redacted]
GET
/
200
Requests shown: 1 · HTTP 404: 0 · Dangerous patterns: 0

* Typical request patterns for detected signatures. Actual target domains are redacted.

04

Timeline

2026-07-28 05:03:53
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), Danger strong hits: 2 (+50)
2026-07-28 14:37:59
Last malicious request observed
Total score reached: 65/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Agni Systems Ltd. SUB
AS23923 · 🇧🇩 Bangladesh
06

Recommendations

Actions taken & recommended

  • IP 119.148.3.101 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🔎 Path Enumeration Protection

Block scanning from 119.148.3.101: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
cbl.abuseat.org
✓ Clean
bl.spamcop.net
✓ Clean
bl.blocklist.de
✓ Clean
zen.spamhaus.org
✓ Clean
b.barracudacentral.org
✓ Clean
psbl.surriel.com
✓ Clean
dnsbl.dronebl.org

Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.

10

Threat Analysis

119.148.3.101 has been assigned a threat score of 65/100 (High). This score indicates high threat severity. The IP has shown clear patterns of malicious behavior that warrant immediate defensive measures.

The following attack categories were identified:

Path Enumeration

📊 Threat Analysis

The address 119.148.3.101 originates from Dhaka, Bangladesh, operating on the network of Agni Systems Ltd. SUB. It was identified through automated analysis of incoming network traffic across monitored endpoints. The address has been active for 1 days in our monitoring system, producing 29 flagged requests at a rate of ~29/day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. Bangladesh currently accounts for 102 blocked IPs in our database, making it a significant source of malicious traffic. At 65/100, this IP presents a meaningful threat. Implement rate limiting with escalation to blocking.

This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.

11

Related Threats

🇧🇩 Top threats from Bangladesh

103.177.150.22 (295)103.132.182.55 (295)144.79.133.48 (245)103.177.150.13 (240)103.177.150.20 (240)View all →

🏢 Same network: AS23923

182.252.77.196 (70)View all →
12

Security Intelligence

💡 SQL Injection Campaigns

SQL injection remains one of the most common web attack vectors. Attackers inject malicious SQL code through input fields to extract database contents, modify data, or gain administrative access. Automated scanners test for SQLi vulnerabilities at massive scale.

💡 IoT Device Compromise Patterns

Internet of Things devices are prime targets for botnet recruitment due to weak default credentials, infrequent updates, and always-on connectivity. Compromised IoT devices generate persistent scanning and attack traffic without their owners knowledge.

🔍 Check Any IP Address

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